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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
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package org.apache.carbondata.examples
import org.apache.flink.api.java.ExecutionEnvironment
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.mapreduce.Job
import org.apache.carbondata.hadoop.CarbonProjection
import org.apache.carbondata.hadoop.api.CarbonTableInputFormat
// Write carbondata file by spark and read it by flink
// scalastyle:off println
object FlinkExample {
def main(args: Array[String]): Unit = {
// write carbondata file by spark
val cc = ExampleUtils.createCarbonSession("FlinkExample")
val path = ExampleUtils.writeSampleCarbonFile(cc, "carbon1")
// read two columns by flink
val projection = new CarbonProjection
projection.addColumn("c1") // column c1
projection.addColumn("c3") // column c3
val conf = new Configuration()
CarbonTableInputFormat.setColumnProjection(conf, projection)
val env = ExecutionEnvironment.getExecutionEnvironment
val ds = env.readHadoopFile(
new CarbonTableInputFormat[Array[Object]],
classOf[Void],
classOf[Array[Object]],
path,
new Job(conf)
)
// print result
val result = ds.collect()
for (i <- 0 until result.size()) {
println(result.get(i).f1.mkString(","))
}
// delete carbondata file
ExampleUtils.cleanSampleCarbonFile(cc, "carbon1")
}
}
// scalastyle:on println